DONG Ke, FENG Wei, DONG Xinggan, HUANG Dingfa. Quality Control for MGF Cycle Slip Determination of High-Sampling-Rate GNSS Data[J]. Geomatics and Information Science of Wuhan University, 2023, 48(2): 268-276. DOI: 10.13203/j.whugis20200200
Citation: DONG Ke, FENG Wei, DONG Xinggan, HUANG Dingfa. Quality Control for MGF Cycle Slip Determination of High-Sampling-Rate GNSS Data[J]. Geomatics and Information Science of Wuhan University, 2023, 48(2): 268-276. DOI: 10.13203/j.whugis20200200

Quality Control for MGF Cycle Slip Determination of High-Sampling-Rate GNSS Data

More Information
  • Received Date: April 10, 2021
  • Available Online: February 16, 2023
  • Published Date: February 04, 2023
  •   Objectives  For the high-reliability and fast cycle slip detection and correction of high-sampling-rate global navigation satellite system (GNSS) data, the quality control method for modified geometry-free (MGF) combination is proposed to improve the success rate of phase cycle slip correction.
      Methods  According to the MGF combination and its error characteristics, the error limits of the MGF method are derived, and the applicability in different navigation satellite systems and the influence of measurement noise on the detecting results are analyzed. Based on the above research, the quality control test of the MGF combination is constructed and multi-GNSS experiments are carried out.
      Results  The experimental results show that the MGF method can be used to detect and correct small cycle slips (such as cycles below 5) rapidly with an accuracy rate of 99.90%. Besides, the quality control test of the MGF combination can identify 100%, 87.57% and 77.42% of the wrong correcting results of GPS, BDS and GLONASS respectively, which reduces the error rate of cycle slip correction to 0.01%.
      Conclusions  The MGF method is significantly influenced by the noise of phase observation, and the quality control test can identify wrong correcting results effectively, thereby improving the success rate of cycle slip correction. The ability of the quality control test to distinguish wrong detecting results and noise decreases with the increase of noise level.
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